Market Analytics

Know the shape of what you own.

The full historical return distribution of a stock — not just the average, but the tails you actually live through.

Return Distribution & Risk Profile panel for APP showing beta, volatility, Sharpe ratio, and max drawdown cards above a daily-return histogram with normal-curve overlay.
Illustrative example. For informational and research purposes only — not investment advice.

What it tells you

An average annual return tells you almost nothing about the experience of holding a stock. The Distribution of Returns view shows the whole shape: how daily returns cluster, how fat the tails are, and how deep the drawdowns go — with the dates they happened. Two stocks with identical average returns can be radically different investments — this chart is where that difference becomes visible.

Who it's for

For investors who understand that risk isn't a number — it's a shape.

How it works

  • Daily dividend-adjusted returns are computed for the stock and the S&P 500 (via SPY) over a selectable lookback window of 1 to 20 years.
  • A histogram of daily returns is overlaid with a normal curve of the same mean and standard deviation, so fat tails and skew are visible directly — no statistics degree required.
  • Sixteen statistics per run: beta, Sharpe ratio, Jensen's alpha, tracking error, information ratio, skewness, excess kurtosis, max drawdown with its dates, and more — beside rolling 60-day beta, drawdown-from-peak, and cumulative-return charts.
  • The Sharpe ratio uses the same live 10-Year U.S. Treasury yield as the platform's DCF discount rate, displayed with its as-of date.
Drawdown-from-peak and cumulative return vs S&P 500 charts with the full statistics table, including Jensen's alpha and the dated risk-free rate.
Illustrative example as of July 10, 2026. For informational and research purposes only — not investment advice.
Included in Professional

5-year windows on Professional · up to 20 years on Institutional. Server-enforced.

Questions

How is this different from volatility?
Volatility compresses the entire distribution into one number. This shows you the distribution itself — including the asymmetries a single number hides.
All Signal. No Noise.

See the full methodology on your own coverage list.